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Development Of Virtual Backbone…
The TDMA report that has been shown in the Fig. 6 which had the error rate life time of the sensor nodes
scheduling time
Fig.7 VBS Report
The VBS report that has been shown in the Fig.7 which had the error rate life time of the sensor nodes
scheduling time.
Fig.8 VBS with Fuzzy and clustering Report
The VBS with Fuzzy and clustering report that has been shown in the Fig.8 which had the error rate life time of
the sensor nodes scheduling time. By comparing these reports VBS with Fuzzy and clustering process having
minimizing error rate , increasing the life time of the sensor nodes and reducing the schedule time which is
optimized.
VI. PERFORMANCE ANALYSIS
The result comparisons with existing and proposed graph representations are shown as following
sections.
A. Life Time
The Life time comparison is shown in Fig. 9. It Shows that the TDMA Scheduling life time of the
sensor node (364 Hrs) , VBS Scheduling life time of the sensor nodes (427 Hrs) and VBS with Fuzzy and
clustering Scheduling Life time of the sensor nodes ( 451 Hrs), which will shows that out proposed VBS with
fuzzy and clustering technique will improve the life time of the sensor nodes . It represent the performance of
data collection will get increased by using out proposed technique VBS with fuzzy and clustering .
.
Fig. 9 Sensor Life Time Comparison
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